samsung SM-G975F
Geekbench AI Score
471
Single Precision Score
466
Half Precision Score
653
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-G975F |
| Model ID | samsung SM-G975F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
100% |
489
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
604
9.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
903
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
436
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
678
8.06 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
95% |
1227
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
821
6.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
946
8.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1634
2.12 IPS |
|
|
Style Transfer (HP)
|
89% |
1667
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2332
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
232
310.2 IPS |
|
|
Text Classification (Q)
|
88% |
394
530.8 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (Q)
|
50% |
212
7.52 IPS |
